Karma

Karma — CS2 Stats

US76561198034535743[U:1:74270015]Steam profile ↗✓ No bans

354Tracked matches57%Win rate2023Tracked since
573Hours in CS0Hrs last 2 wks
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating19,504Top 50% of 215,248 CSDB-tracked playersPurple band · top ~10.5% of ranked players (population est.)
CSDB Leaderboard#93875 of 261485 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 354 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,504 +504 31 Aug – 27 Oct · 26 days played
16,98520,512peak 20,51231 Aug27 Oct
20,512Peak Premier in tracked matches
26Days played since 2026-08-31

Premier CS Rating

  • 1,008 below peak (20,512)
  • +1,606 over 30 days · improving
  • Next: Pink band at 20,000 — 496 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate34.5%44.4%46.9%12.4% short
Shot accuracy20.7%11.9%13.0%above
Kill/death ratio1.451.031.08above
Match win rate52.9%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKarmaPREMIER19,504 · Purple bandcsdb.gg/stats

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Performance scores

Aim84
Positioning42
Utility35

0–100 skill scores via Leetify.

Recent form

HOT55–43–2Last 10055%Win rateWWWWWLWWWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +3.3pp headshot accuracy · +78ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 16%
  • Avg reaction 500ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 548ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 509ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.1 against its own average).

Aim8.4
Utility3.5
Positioning4.2
Opening Duels0.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ropz

Plays most like ropz 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 42 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 551ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.4
Positioning4.2
Utility3.5
Mechanics7.1
Opening Duels0.7
Win Impact7.2

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time566ms+42ms
first ⅓ avg 524ms → last ⅓ avg 566ms
Headshot accuracy10.4%−5.4%
first ⅓ avg 15.8% → last ⅓ avg 10.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.11Best match rating · 13–5 · dust2, 5 Oct →
50%Best headshot accuracy · 0–13 · dust2, 1 Sept →
359msFastest reaction time · 13–6 · inferno, 14 Sept →
13–0Biggest win · dust2, 5 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W5Current streak
0–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C219–1243%-0.02
cacheS1712–571%0.00
infernoB158–753%-0.01
ancientC135–838%0.01
anubisA127–558%-0.01
mirageC83–538%0.00
nukeS54–180%-0.01
officeA53–260%0.03
vertigo—22–0100%0.02
train—11–0100%0.05
fachwerk—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,088Lifetime kills
1.45K/D · Top 5% of Purple band
811Matches
52.9%Match win rate · Top 10% of Purple band
34.5%Headshot %
20.7%Shot accuracy · Top 5% of Purple band
1,743MVPs
358Hours (in match)
964Bombs planted
273Bombs defused

Most-used weapons

Lifetime map wins

2,965nuke
1,448dust2
1,199inferno
330office
271vertigo
83train
61cbble
46italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches
100%Win rate
1.88Avg K/D
92.1ADR
27%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.4%Headshot accuracy
44.3%Accuracy (enemy spotted)
49.4%Spray accuracy
82.0%Counter-strafing
10.3°Preaim
551msReaction time
35.2%T opening success
23.8%CT opening success
0.35Enemies flashed / flash
3.4%Flash assists
9.82HE damage / grenade
3.70Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.3623% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3485 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 35.2067% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–40.0513%7 Oct →
mirage13–90.0421%5 Oct →
dust213–50.1120%5 Oct →
anubis13–60.0915%5 Oct →
cache13–60.0613%5 Oct →
anubis11–13-0.013%4 Oct →
cache16–120.028%2 Oct →
anubis13–9-0.033%28 Sept →
ancient13–70.0311%28 Sept →
mirage10–13-0.038%28 Sept →
inferno13–80.115%27 Sept →
anubis13–8-0.020%27 Sept →
cache5–130.017%27 Sept →
mirage5–130.0312%26 Sept →
mirage13–10-0.0012%25 Sept →
ancient5–13-0.0311%25 Sept →
mirage11–130.0516%25 Sept →
dust28–13-0.032%24 Sept →
ancient11–130.0313%24 Sept →
cache13–5-0.014%23 Sept →
nuke13–9-0.029%23 Sept →
vertigo13–20.023%23 Sept →
dust213–40.079%23 Sept →
mirage11–13-0.019%23 Sept →
mirage4–13-0.0620%23 Sept →
ancient11–13-0.0113%23 Sept →
inferno6–130.0411%23 Sept →
vertigo13–20.0217%23 Sept →
inferno13–8-0.0821%22 Sept →
dust20–13-0.044%22 Sept →
cache0–5-0.000%21 Sept →
anubis9–130.029%20 Sept →
inferno13–30.0521%14 Sept →
mirage13–30.0321%14 Sept →
inferno0–8-0.0517%14 Sept →
inferno13–60.0112%14 Sept →
anubis13–7-0.052%14 Sept →
dust23–130.0626%14 Sept →
inferno4–13-0.0420%14 Sept →
ancient13–5-0.0310%13 Sept →
cache13–80.0111%13 Sept →
anubis16–130.017%13 Sept →
ancient5–13-0.0310%13 Sept →
dust213–7-0.007%13 Sept →
dust213–8-0.0415%12 Sept →
inferno16–13-0.066%12 Sept →
cache13–50.0214%12 Sept →
cache13–90.0120%12 Sept →
dust213–2-0.0511%12 Sept →
inferno1–13-0.0325%12 Sept →
ancient16–130.036%11 Sept →
cache13–1-0.047%11 Sept →
nuke13–40.0424%11 Sept →
ancient8–130.0112%10 Sept →
dust25–13-0.027%10 Sept →
cache13–2-0.046%10 Sept →
dust23–13-0.0545%10 Sept →
cache13–40.047%9 Sept →
nuke0–5-0.050%8 Sept →
ancient13–10.045%8 Sept →
nuke13–8-0.007%8 Sept →
cache0–13-0.1017%8 Sept →
inferno5–13-0.0833%8 Sept →
fachwerk13–60.058%7 Sept →
office7–13-0.039%7 Sept →
inferno5–13-0.0115%7 Sept →
cache13–100.0413%7 Sept →
ancient15–150.0313%7 Sept →
anubis13–90.0418%7 Sept →
office13–10.0438%7 Sept →
office13–70.1033%7 Sept →
inferno13–40.0123%5 Sept →
dust213–6-0.0510%5 Sept →
cache13–50.0215%5 Sept →
dust213–0-0.006%5 Sept →
nuke13–6-0.0421%4 Sept →
dust210–130.0626%4 Sept →
dust24–13-0.0414%4 Sept →
ancient3–130.0419%4 Sept →
inferno13–80.0114%4 Sept →
anubis0–13-0.0310%4 Sept →
office11–13-0.046%2 Sept →
office13–60.0714%2 Sept →
dust213–1-0.040%2 Sept →
dust213–16-0.035%1 Sept →
dust26–3-0.160%1 Sept →
cache7–130.058%1 Sept →
dust20–13-0.0850%1 Sept →
inferno5–13-0.056%1 Sept →
dust23–130.0410%1 Sept →
cache13–2-0.025%31 Aug →
anubis8–13-0.0516%31 Aug →
ancient7–13-0.0024%31 Aug →
cache7–13-0.0513%31 Aug →
inferno13–80.0412%31 Aug →
anubis15–15-0.0613%31 Aug →
anubis13–30.015%31 Aug →
dust210–130.0321%31 Aug →
ancient13–8-0.0111%31 Aug →
dust25–13-0.0642%31 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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